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Internship Computer Vision Jobs in Minneapolis, MN

RX STUDENT 2YR

Otsego, MN ยท On-site

$24/hr

Provides high level member service. 1st year interns $18/hr. 2nd year interns $20/hr. 3rd year ... Obtains patient medical history and maintains confidential computer records. * Checks prescriptions ...

... and interns, as well as our valued volunteers, partners, coalition members, and leaders of the ... With a clear mission and vision of a better future for all, we can mobilize people to bring about ...

Basic Education Manager

Minneapolis, MN ยท On-site

$52K - $55K/yr

... and interns, as well as our valued volunteers, partners, coalition members, and leaders of the ... With a clear mission and vision of a better future for all, we can mobilize people to bring about ...

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Internship Computer Vision information

What types of projects and daily tasks can I expect during a Computer Vision internship?

As a Computer Vision intern, you can expect to work on projects involving real-world image and video data, such as developing object detection models, data annotation, and helping improve existing algorithms. Daily tasks often include coding, running experiments, analyzing model performance, and collaborating with data scientists and software engineers. You may participate in team meetings, present your findings, and receive mentorship on best practices in both research and development. This hands-on experience provides a valuable opportunity to build your technical skills and gain insight into how computer vision applications are developed and deployed in industry.

What is an Internship Computer Vision job?

An Internship in Computer Vision involves working on projects related to image processing, machine learning, and AI-driven visual recognition. Interns typically assist in developing algorithms for object detection, image segmentation, and pattern recognition. They may work with deep learning frameworks like TensorFlow or OpenCV to train models on large datasets. This role provides hands-on experience in applying computer vision techniques to real-world problems, preparing interns for careers in AI and machine learning.

What are the key skills and qualifications needed to thrive in the Internship Computer Vision position, and why are they important?

To thrive as an Internship Computer Vision candidate, you should have a solid understanding of image processing, machine learning fundamentals, and proficiency in programming languages such as Python or C++. Familiarity with computer vision libraries like OpenCV, TensorFlow, or PyTorch, as well as coursework or certifications in artificial intelligence, is highly valued. Strong problem-solving skills, willingness to learn, and effective communication abilities are key soft skills that help interns excel. These competencies are essential for contributing to projects, integrating with teams, and adapting to the fast-evolving field of computer vision.

What are the most commonly searched types of Computer Vision jobs in Minneapolis, MN? The most popular types of Computer Vision jobs in Minneapolis, MN are:
What are popular job titles related to Internship Computer Vision jobs in Minneapolis, MN? For Internship Computer Vision jobs in Minneapolis, MN, the most frequently searched job titles are:
What job categories do people searching Internship Computer Vision jobs in Minneapolis, MN look for? The top searched job categories for Internship Computer Vision jobs in Minneapolis, MN are:
Infographic showing various Internship Computer Vision job openings in Minneapolis, MN as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution.

Research Intern on Generative and Protective AI for Content Creation

Sony

Plymouth, MN โ€ข On-site

$50/hr

Other

Posted 3 days ago

New


Job description

Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony's other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: https://ai.sony/

Position Summary

Sony AI is seeking research interns who are passionate about ML-based technologies that are useful in movie , game , and music creation, as well as technologies for the ethical operations of generative AIs. Our mission is to research and develop technologies for various Sony Group products and for scientific publication. The technologies developed during the internship will have the potential to be applied in film, game , and music production across entertainment studios worldwide.

Responsibilities

As a research intern, you will investigate and apply novel algorithms related to:

  • The generation and editing of video, sound, and 3D visual geometry (including 3D human motion).
  • The analysis and alleviation of ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution.

Your goal will be to publish your findings in a top-tier conference. You are expected to be self-motivated and to implement innovative ideas using your research, coding, and problem-solving skills. You will receive support from internal scientists and engineers in your efforts.

Required Qualifications

  • Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields.
  • Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing.
  • Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ).
  • Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS , ICLR, and ICML.
  • Excellent communication and presentation skills.

Preferred Qualifications

  • Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines.

Working Location

Location flexible (Tokyo, NYC, remote)

The target hourly rate for this internship is $50.00 per hour. The individual will be paid hourly and eligible for overtime .

LI-AS1

All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation.

Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for.

We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information.

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